人工智能在科:预测CKD进展和个性化治疗治疗
Shouping Yuan1, Lei Guo2, Feipeng Xu3
1Department of Nephrology, The First Hospital of Putian City, Putian, 351100, Fujian Province, China. ysp738016@163.com.
International urology and nephrology
|November 8, 2025
概括
人工智能 (AI) 通过分析复杂的数据来增强慢性病 (CKD) 的检测和管理. 人工智能可以更好地预测疾病进展和个性化治疗,解决当前方法的局限性.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 慢性病 (CKD) 是一个日益严重的全球健康问题.
- 目前对CKD的风险评估工具缺乏准确性和通用性.
- 人口老龄化,糖尿病和高血压导致CKD患病率上升.
研究的目的:
- 审查人工智能 (AI) 在CKD检测,进展预测和个性化管理中的作用.
- 突出AI的潜力,克服传统CKD评估工具的局限性.
- 讨论人工智能在早期查,生物标志物发现和治疗指导中的应用.
主要方法:
- 关于人工智能在科应用的最新证据的审查.
- 分析AI处理高维数据 (EHR,成像,omics,可穿戴设备) 的能力.
- 检查机器学习,深度学习,NLP和多式联络数据集成技术.
主要成果:
- 人工智能模型在预测晚期病等慢性病结果方面达到高准确度 (AUC 0.85-0.96).
- 人工智能有助于早期CKD查,生物标志物发现和精确的表型.
- 人工智能有助于指导个性化干预,包括SGLT2抑制剂治疗和透析启动.
结论:
- 人工智能显示出极大的潜力,可以彻底改变CKD护理.
- 解决算法偏见和数据隐私等挑战对于公平的AI实施至关重要.
- 可解释AI和联合学习是克服实施障碍的关键策略.
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